Instructions to use Jan358/Geometric-Shapes-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jan358/Geometric-Shapes-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Jan358/Geometric-Shapes-Classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("Jan358/Geometric-Shapes-Classification") model = AutoModelForImageClassification.from_pretrained("Jan358/Geometric-Shapes-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4cc237a8d429d14f7bd004cc8cf032c6428f9d6d2ee03042d5dd4acd55309ef
- Size of remote file:
- 1.06 kB
- SHA256:
- ac4d1140f5a0513989aca0dc1db73e181db90de91e412469cc8be792cca398dc
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